Stichting Imec Nederland

Onera Technologies B.v.

Willemijn Groenendaal

Tom Van Steenkiste

Dirk Deschrijver

Ruben De Francisco Martin

Joeri Ruyssinck

Seulki Lee

A method for detecting a respiratory event of a subject comprises: receiving a bio-impedance measurement signal (S) dependent on respiratory action from the subject; extracting () at least one time-sequence of the bio-impedance measurement signal (S); and for each extracted time-sequence: comparing () the bio-impedance measurement signal (S) with each of a plurality of machine learning models in an ensemble of machine learning models to form a set of predictions of occurrence of a respiratory event, wherein each prediction is based on comparing the bio-impedance measurement signal (S) with one machine learning model, wherein each model correlates features of time-sequences of a bio-impedance measurement signal (S) with presence of a respiratory event and wherein each model is trained on a unique data set of training time-sequences; deciding () whether a respiratory event occurs in the extracted time-sequence based on the set of predictions.

Method and a system for detecting a respiratory event of a subject and a method for forming a model for detecting a respiratory event

A system for respiratory monitoring of a subject comprises: a bioimpedance measurement sensor, which is configured for arrangement in relation to the subject for acquiring a bioimpedance signal; a processing unit, which is configured to receive the acquired bioimpedance signal and receive a reference signal, the reference signal representing a respiratory effort of the subject or a respiratory airflow at a time of bioimpedance signal acquirement, the processing unit being further configured to divide the bioimpedance signal into an effort component representing a respiratory effort of the subject and a flow component representing a respiratory airflow of the subject based on the received bioimpedance signal and the received reference signal.

System and method for respiratory monitoring of a subject

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Leuven, Belgium

Willemijn Groenendaal